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Record W7036434026

Burden and Impact of Acute Gastroenteritis and Foodborne Pathogens in\nTrinidad and Tobago

2014· other· en· W7036434026 on OpenAlexfundno aff

Bibliographic record

VenueBioline International (Bioline International) · 2014
Typeother
Languageen
FieldEngineering
TopicAdvanced X-ray and CT Imaging
Canadian institutionsnot available
FundersPan American Health OrganizationPublic Health AgencyInternational Development Research Centre
KeywordsAcute gastroenteritisOutbreakDiseasePandemicDiarrheaEpidemiologyPopulationAcute diarrhea
DOInot available

Abstract

fetched live from OpenAlex

Trinidad and Tobago (T&T) is a Twin-island State situated at the southern end of the Caribbean, with mainly an energy-driven economy (8).Having gained its independence in August 1962, the country is a democratic republic within the British Commonwealth.Trinidad is currently organized into 13 administrative areas or Regional Corporations as set up under the 1981 Regional Corporation Act.The 2010 Census data showed a population of 1,226,383 (621,631 males: 604,752 females) (9).In 1994, the Regional Health Authorities Act was enacted, establishing five Regional Health Authorities (RHAs)-four in Trinidad and one in Tobago-as independent statutory authorities accountable to the Minister of Health.The RHA territories have been drawn to coincide with those of local governments (the Regional Corporations) to ensure that they effectively coordinate among the latter in providing a range of health services to their catchment populations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.702

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.245
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractno

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